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fd2d1de424
* fix(skills): parse optimizer metadata as YAML * fix(skills): address optimizer review feedback * fix(ci): retain only upstream preapproved waiver hashes * fix(ci): retain reviewed subprocess location and separate authorization --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
"""Shared utilities for skill-creator scripts."""
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from pathlib import Path
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import yaml
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def parse_skill_md(skill_path: Path) -> tuple[str, str, str]:
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"""Parse a SKILL.md file, returning (name, description, full_content)."""
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# utf-8-sig strips the BOM that Windows editors prepend, matching the
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# runtime parser and quick_validate.py.
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content = (skill_path / "SKILL.md").read_text(encoding="utf-8-sig")
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lines = content.split("\n")
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if lines[0].strip() != "---":
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raise ValueError("SKILL.md missing frontmatter (no opening ---)")
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end_idx = None
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for i, line in enumerate(lines[1:], start=1):
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if line.strip() == "---":
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end_idx = i
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break
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if end_idx is None:
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raise ValueError("SKILL.md missing frontmatter (no closing ---)")
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# Use the same YAML semantics as quick_validate.py and the runtime loader.
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# Stripping quotes manually changes escaped strings, comments and block scalars.
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try:
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frontmatter = yaml.safe_load("\n".join(lines[1:end_idx]))
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except yaml.YAMLError as exc:
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raise ValueError(f"Invalid YAML in SKILL.md frontmatter: {exc}") from exc
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if not isinstance(frontmatter, dict):
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raise ValueError("SKILL.md frontmatter must be a YAML dictionary")
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name = frontmatter.get("name", "")
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description = frontmatter.get("description", "")
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if not isinstance(name, str) or not isinstance(description, str):
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raise ValueError("SKILL.md name and description must be strings")
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return name.strip(), description.strip(), content
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